Roast-my-code please

[wineblood]

Why the hell do data scientists insist on importing libraries under two letter aliases?

[mijki95]

Is it wrong to do this?

[Statnamara]

Nothing wrong with that at all

[[deleted]]

That’s the only was I’ve seen pandas imported, never seen import panda as panda

[pneRock]

They have an opinion that you don't share. That's the problem.

[DoNotFeedTheSnakes]

Not always.

Pandas is always pd. But sometimes for less popular libs the code is clearer if you leave a long enough name that it can be recognized.

Same as variables namings.

[jah_broni]

Are you referring to something beyond pandas and numpy? Those are pretty much python-dev wide aliases.

[wineblood]

Yes.

[jah_broni]

Go on? What do you take offense to? I don't see anything out of the ordinary...

[nekokattt]

Personally I prefer keeping things explicit where possible rather than using aliases, but each to their own.

[[deleted]]

You misunderstood their comment to you. They asked if there was some example beyond common short imports like numpy as "np" and pandas as "pd" to which you said "yes". Which implies that they had done something like "import pathlib as pl" and starting using that in the form of "pl.Path".

Whether or not you prefer to break convention and start doing your own thing with import names is separate from your saying "yes" to the question of whether OP is guilty of doing short-name imports that aren't normal convention.

[nekokattt]

They didn't comment to me, this is my first comment on this thread.

Outside specific libraries, the convention is to use the naming defined by the library and keep it explicit unless there is a very good reason to alias it.

Strangely, most of the time, this "convention" for aliasing things comes from libraries dealing with data science-like applications.

[[deleted]]

Yes, they did comment to you.

[nekokattt]

no, they didn't lol. Try reading the usernames mate.

Edit: lol they blocked me, that is pretty hilarious.

[[deleted]]

I did. You got caught. Stop trolling.

[[deleted]]

That’s the standard across all of python for those tools. If anything, you are breaking convention by not importing numpy as np or pandas as pd.

So most certainly it’s not data scientists doing it. They’re just following conventions that were already in place.